Dejing Dou
Summary
| E-mail Phone Fax |
dou@cs.uoregon.edu +1-541-346-4572 +1-541-346-5373 |
Education | BE, 1996, Tsinghua, China MS, 2000, Yale University PhD, 2004, Yale University |
|---|---|---|---|
| Web Office |
ix.cs.uoregon.edu/~dou 303 Deschutes |
Research Areas |
Artificial Intelligence; Data Integration and Data Mining; Bioinformatics; Semantic Web |
Biography
Dejing Dou is an assistant professor in the computer and information science department at the University of Oregon and leads the Advanced Integration and Mining (AIM) Lab. He received his bachelor degree from Tsinghua University, China in 1996 and his Ph.D. degree from Yale University in 2004. His research areas include artificial intelligence, especially ontologies and applications in information integration, data mining, biomedical informatics and the Semantic Web. He has published a number of papers, some of which appear in prestigious conferences and journals like KDD, SDM, CIKM, ISWC, ODBASE and JoDS. In addition to serving on numerous program committees, he has been invited as panelist by NSF several times, and as an expert for grant review by the Netherlands Organization for Scientific Research (NWO). Dejing Dou's research has been supported by NSF and NIH.
Research Interests
Prof. Dejing Dou leads the Advanced Integration and Mining (AIM) Lab where the research projects relate to ontologies, information integration, data mining, biomedical informatics and the Semantic Web.
The OntoGrate project is to devise and evaluate techniques for an ontology-based system to integrate information that is heterogenous in both structure and semantics in a highly automatic way. Key innovations in OntoGrate include broadening the typical scope of integration to span databases, XML Web data, and the Semantic Web; strengthening the derivation of mapping rules by introducing data mining techniques; interacting with human experts to realize the information integration with machine learning and uncertainty reasoning. We have helped gene scientists in ZFIN to find the useful relationship between genotype and phenotype information.
The Neural ElectroMagnetic Ontologies (NEMO) project addresses a critical need for formal representation, storage, mining, and dissemination of human brain electromagnetic (e.g., EEG) data. NEMO is a collaborative project with Gwen Frishkoff, Allen Malony, and Don Tucker at NIC and EGI. We have formed a consortium with six EEG labs in the world to mine and develop EEG/ERP ontologies which is novel for neuroscience field. We are currently building ontology-based databases and data integration system for EEG/ERP data. Our recent paper on brainwave ontology mining was accepted by SIGKDD conference 2007 for full presentation and was nominated for the best research paper award. The NEMO project has been funded as an R01 grant by NIH/NIBIB.
The Internet Routing Forensics (IRF) is a collaborative project of AIM lab and UO's Network Security Lab (lead by Prof. Jun Li). We are combining several data mining techniques, such as classification and clustering, together with statistics and knowledge representation methods to understand and represent the impact abnormal BGP (Border Gateway Protocol) events, such as worms and blackout. The IRF project has been funded by NSF.